Here you'll get a little more practice working with JSON files before moving on to playing with APIs all on your own where you'll synthesize reading documentation, making get requests and then parsing JSON data.

Here's the JSON schema provided for a section of the NY Times API:

or a fully expanded view:

You can see this yourself here: https://developer.nytimes.com/movie_reviews_v2.json#/Documentation/GET/critics/%7Bresource-type%7D.json

You can see that the master structure is a dictionary and has a key named 'response'. This is also a dictionary and has two keys: 'data' and 'meta'. As you continue to examine the schema hierarchy, you'll notice the vast majority in this case are dictionaries.

Start by importing the json file. The sample response from the api is stored in a file ny_times_movies.json

#Your code here

Create a DataFrame of the major data container within the json file, listed under the 'results' heading in the schema above.

#Your code here

#Your code here

#Your code here

#Your code here

Well done! Here you continued to gather practice extracting data from JSON files and transforming them into our standard tool of Pandas DataFrames.